Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy

Description: Scenario analysis for a pension plan is the process of assessing the effects of hypothetical events on the plan’s future financial position, providing tangible real-world examples of risks facing the plan. Long term risks for a pension plan can often feel abstract. Providing strong narratives around possible future events makes it easier for stakeholders to engage with these risks and potential mitigation strategies

Description: it discusses the framework and modeling of the market consistent valuation of fixed indexed annuity, against the backdrop of the convergence of accounting standards and internal risk management.

Description: You really can have it all: readily available and relevant information derived from consistent and understood data. Getting at the Truth requires a good datawarehouse design and an appropriate business data model. Add a powerful and flexible Web–based analytical interface to get at the data and success in the pursuit of Truth will happen.

Description: This article highlights 13 attributes shared by various groups of companies that landed in trouble. The companies are identified, and the attributes are described.

Description: This article is based on the author's discussions with many executives of insurance companies regarding the challenges and limitations in ERM at its current state of evolvement. The following areas need to be addressed and improved on, in the author's opinion, to 'take ERM to the next level': 1. Reconciling Risk Concerns of Creditors and Shareholders. 2. Managing of Operational Risk. 3. Execution Risks. 4. Producing Credible and Useful Risk Adjusted Performance Measures. 5. Aligning Performance Metrics with Management’s Performance Measurement Philosophy.

Description: This article explores some key challenges facing the modeling actuary related to LDTI implementation and shares associated compliance and modernization considerations.

Description: How insurers can include a liquidity score and liquidity stress scenarios as part of their asset liability management (ALM) protocol.

Description: A research report that examines the effect of ERM adoption on a firm’s corporate reputation.

Description: Read the Quo Vadis Reinsurance.